Automated vehicle diffusion under uncertainty across national and regional scenarios in Brazil
DOI:
https://doi.org/10.58922/transportes.v34.e3143Keywords:
Fleet transition; Technology adoption; Passenger car market; Mixed-fleet operations.Abstract
The global transition toward mobility based on automated and autonomous vehicles (AVs) poses a challenge for transportation planning, requiring the analysis of scenar-ios where these vehicles will be introduced and disseminated throughout the fleet. International studies suggest prolonged transition periods and uncertainty regarding the widespread adoption of AVs due to barriers such as additional costs, safety concerns, and coexistence with conventional vehicles. In Brazil, however, scenarios concerning the introduction and dissemination of AVs in the vehicle fleet remain underexplored. This paper presents a scenario analysis of the introduction and dissemination of AVs in the Brazilian passenger car fleet over the coming decades. A model is proposed based on estimated new-vehicle sales and registrations, and the availability of automation technologies in the domestic market. Results show that the share of AVs in the Brazilian fleet is expected to increase gradually over the long term. Under optimistic scenarios, simulations indicate that fully autonomous vehicles are unlikely to account for more than 50% of the Brazilian fleet by 2060, suggesting the coexistence of vehicles with different levels of automation. These findings highlight the need for long-term strategic planning to support vehicle transition, including the regulatory and infrastructure challenges inherent in a mixed-fleet environment.
Downloads
References
ANFAVEA (2024). Anuário Anfavea: Indústria Automobilística Brasileira. São Paulo: Associação Nacional dos Fabricantes de Veículos Automotores. URL: https://anfavea.com.br/site/wp-content/uploads/2024/04/ANFAVEA-ANUARIO-DIGITAL-2024_compressed.pdf [visited 06/24/2025].
Atkins, W. S. (2016). Research on the Impacts of Connected and Autonomous Vehicles (CAVs) on Traffic Flow: Sum-mary Report (Version 1.1). Technical report, Atkins, London. URL: https://assets.publishing.service.gov.uk/ media/5a7f6967ed915d74e622a4bc/impacts-of-connected-and-autonomous-vehicles-on-traffic-flow-summary-report.pdf [visited 06/24/2025].
Bansal, P. & K. M. Kockelman (2017). Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies. Transportation Research Part A: Policy and Practice 95, 49–63. DOI:10.1016/j.tra.2016.10.013. DOI: https://doi.org/10.1016/j.tra.2016.10.013
Bentley, J. (2019). Autopia: The Future of Cars. London: Atlantic Books.
Bierstedt, J., A. Gooze, & C. Grey (2014). Effects of next-generation vehicles on travel demand and highway capacity. FP Think Working Group 8, 10–11.
Bohm, F. & K. Häger (2015). Introduction of autonomous vehicles in the Swedish traffic system: Effects and changes due to the new self-driving car technology. MSc. thesis, Uppsala University. URL: https://urn.kb.se/resolve?urn=urn%3Anbn% 3Ase%3Auu%3Adiva-253996 [visited 08/03/2026].
Daziano, R. A., M. Sarrias, & B. Leard (2017). Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles. Working paper, Resources for the Future, Washington, D.C., USA. URL: https://www.rff.org/publications/working-papers/are-consumers-willing-to-pay-to-let-cars-drive-for-them-analyzing-response-to-autonomous-vehicles/ [visited 08/03/2026]. DOI: https://doi.org/10.2139/ssrn.2851943
Deichmann, J., A. Grosse-Ophoff, & M. Kässer (2023). Autonomous driving’s future: Convenient and connected. Technical report, McKinsey & Company, McKinsey Center for Future Mobility, New York.
Fulton, L., J. Mason, & D. Meroux (2017). Three revolutions in urban transportation. Research Report UCD-ITS-RR-17-03, Institute of Transportation Studies, University of California, Davis. URL: https://steps.ucdavis.edu/wp-content/ uploads/2017/05/ITDP-3R-Report-v6.pdf [visited 06/24/2025].
Harb, M., A. Stathopoulos, Y. Shiftan, & J. L. Walker (2021). What do we (not) know about our future with automated vehicles.
Transportation Research Part C: Emerging Technologies 123, 102985. DOI:10.1016/j.trc.2020.102948. DOI: https://doi.org/10.1016/j.trc.2020.102948
Hermann, A., W. Brenner, & R. Stadler (2018). Autonomous Driving: How the Driverless Revolution Will Change the World.
Bingley: Emerald Publishing. DOI:10.1108/9781787148338. DOI: https://doi.org/10.1108/9781787148338
Holt, C. C. (1957). Forecasting Seasonals and Trends by Exponentially Weighted Moving Averages. Technical report ONR Research Memorandum No. 52, Carnegie Institute of Technology, Pittsburgh.
Hyndman, R. J. & G. Athanasopoulos (2021). Forecasting: Principles and Practice (3 ed.). Melbourne: OTexts.
IBGE (2024). Projeções da população: Brasil e unidades da federação - Revisão 2024. Rio de Janeiro: Instituto Brasileiro de Geografia e Estatística. URL: https://www.ibge.gov.br/estatisticas/sociais/populacao/9109-projecao-da-populacao.html?=&t=resultados [visited 08/03/2026].
Jiang, X., W. Yu, W. Li, J. Guo, X. Chen, H. Guo, W. Wang, & T. Chen (2021). Factors affecting the acceptance and willingness-to-pay of end-users: a survey analysis on automated vehicles. Sustainability (Basel) 13(23), 13272. DOI:10.3390/su132313272. Kappler, L. B. (2020). Análise dos impactos de veículos autônomos em uma rodovia brasileira com simulação de tráfego. MSc. DOI: https://doi.org/10.3390/su132313272
thesis, Universidade Federal do Rio Grande do Sul, Porto Alegre. URL: https://lume.ufrgs.br/handle/10183/212396
[visited 08/03/2026].
Kockelman, K. M. & S. D. Boyles (2018). Smart transport for cities & nations: The rise of self-driving & connected vehicles. Texas: LLC.
Kockelman, K. M., S. M. Boyles, P. Stone, D. J. Fagnant, R. Patel, M. W. Levin, G. Sharon, M. Simoni, M. Albert, H. Fritz,
R. Hutchinson, P. Bansal, G. Domnenko, P. Bujanovic, B. Kim, E. Pourrahmani, S. Agrawal, T. Li, J. Hanna, A. Nichols, &
J. Li (2017). An assessment of autonomous vehicles: Traffic impacts and infrastructure needs - Final report. Technical report FHWA/TX-17/0-6847-1, Center for Transportation Research, The University of Texas at Austin, Austin, TX. URL: https://rosap.ntl.bts.gov/view/dot/31990 [visited 08/03/2026].
Kyriakidis, M., R. Happee, & J. C. F. de Winter (2015). Public opinion on automated driving: Results of an international questionnaire among 5000 respondents. Transportation Research Part F: Traffic Psychology and Behaviour 32, 127–140. DOI:10.1016/j.trf.2015.04.014. DOI: https://doi.org/10.1016/j.trf.2015.04.014
La Rovere, E. L., C. B. S. Dubeux, W. Wills, J. Lefèvre, & C. Grottera (2016). Emissão de gases de efeito estufa - 2050: Implicações econômicas e sociais do cenário de plano governamental. Technical report, Centro Clima/COPPE/UFRJ, Rio de Janeiro.
Lipson, H. & M. Kurman (2017). Driverless: Intelligent Cars and the Road Ahead. Cambridge: MIT Press.
Litman, T. (2021). Autonomous vehicle implementation predictions: Implications for transport planning. Colúmbia Britânica: Victoria Transport Policy Institute. URL: https://www.vtpi.org/avip.pdf [visited 08/27/2026].
Litman, T. (2022). The new mobilities: implications for transportation and parking. Parking & Mobility, 32–38.
MCFM (2019). The future of mobility is at our doorstep. Technical report, McKinsey Center for Future Mobility, New York.
MCT (2010). Segundo inventário brasileiro de emissões antrópicas de gases de efeito estufa: Emissões de gases de efeito estufa no transporte rodoviário. Brasília: Ministério da Ciência e Tecnologia. Relatórios de Referência.
Milakis, D., B. Van Arem, & B. Van Wee (2017). Policy and society related implications of automated driving: a review of literature and directions for future research. Journal of Intelligent Transport Systems 21(4), 324–348. DOI:10.1080/15472450. 2017.1291351. DOI: https://doi.org/10.1080/15472450.2017.1291351
NHTSA (2013). Preliminary statement of policy concerning automated vehicles. Washington, D.C.: National Highway Traffic Safety Administration. URL: http://www.nhtsa.gov/staticfiles/rulemaking/pdf/Automated_Vehicles_Policy.pdf [visited 08/03/2026].
Norton, P. (2021). Autonorama: The Illusory Promise of High-Tech Driving. Washington: Island Press. DOI:10.2307/jj. DOI: https://doi.org/10.2307/jj.41003589
41003589.
Payre, W., J. Cestac, & P. Delhomme (2014). Intention to use a fully automated car: attitudes and a priori acceptability. DOI: https://doi.org/10.1016/j.trf.2014.04.009
Transportation Research Part F: Traffic Psychology and Behaviour 27(Pt B), 252–263. DOI:10.1016/j.trf.2014.04.009. Rahimi, A., G. Azimi, & X. Jin (2022). What drives commuters to pay for autonomous vehicles. Transportation Research
Record: Journal of the Transportation Research Board 2676(4), 267–280. DOI:10.1177/03611981211058095. DOI: https://doi.org/10.1177/03611981211058095
Rosa, J. P. N., A. R. Pereira, P. Pinto, & M. M. Silva (2025). Using e3value for the transformation of a Rent-a-Car into a Robotaxi.
World Electric Vehicle Journal (MDPI) 16(1), 16. DOI:10.3390/wevj16010016. DOI: https://doi.org/10.3390/wevj16010016
Rosa, J. P. N., A. R. Pereira, F. Santoro, J. Gordijn, & M. M. da Silva (2023). Modeling Waymo’s shared autonomous vehicle service in Phoenix using e3value. International Journal of Transport Development and Integration 7(3), 153–165. DOI: 10.18280/ijtdi.070301. DOI: https://doi.org/10.18280/ijtdi.070301
SAE (2018). Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles (J3016_201806).
SAE International. URL: https://www.sae.org/standards/content/j3016_201806/ [visited 06/24/2025].
Santana, E. F. Z., R. Silva, & S. Figueiredo (2021). Transitioning to a driverless city: evaluating a hybrid system for autonomous and non-autonomous vehicles. Simulation Modelling Practice and Theory 107, 102210. DOI:10.1016/j.simpat.2020. 102210. DOI: https://doi.org/10.1016/j.simpat.2020.102210
Schoettle, B. & M. Sivak (2014). Public opinion about self-driving vehicles in China, India, Japan, the US, the UK, and Australia.
Technical report UMTRI-2014-30, University of Michigan, Transportation Research Institute, Ann Arbor.
Simoni, M. D., K. M. Kockelman, K. Gurumurthy, & J. Bischoff (2019). Congestion pricing in a world of self-driving vehicles: an analysis of different strategies in alternative future scenarios. Transportation Research Part C: Emerging Technologies 98, 167–185. DOI:10.1016/j.trc.2018.11.002. DOI: https://doi.org/10.1016/j.trc.2018.11.002
The Economist (2023). Autonomous vehicles are coming, but slowly: The next challenge for legacy firms is to adapt to auton-omy. The Economist. URL: https://www.economist.com/special-report/2023/04/14/hands-off-the-wheel [visited 06/24/2025].
Trommer, S., V. Kolarova, E. Fraedrich, L. Kröger, B. Kickhöfer, T. Kuhnimhof, B. Lenz, & P. Phleps (2016). Autonomous driving: The impact of vehicle automation on mobility behavior. Berlin: Institute for Mobility Research. URL: https:
//elib.dlr.de/110337/1/ifmo_2016_Autonomous_Driving_2035_en.pdf [visited 06/24/2025].
Wadud, Z. & P. K. Chintakayala (2021). To own or not to own - That is the question: the value of owning a (fully automated) vehicle. Transportation Research Part C: Emerging Technologies 123, 102978. DOI:10.1016/j.trc.2021.102978. DOI: https://doi.org/10.1016/j.trc.2021.102978
Webb, J. (2019). The future of transport: literature review and overview. Economic Analysis and Policy 61, 1–6. DOI: 10.1016/j.eap.2019.01.002. DOI: https://doi.org/10.1016/j.eap.2019.01.002
Weigl, K., D. Eisele, & A. Riener (2022). Estimated years until the acceptance and adoption of automated vehicles and the willingness to pay for them in Germany: focus on age and gender. International Journal of Transportation Science and Technology 11(2), 216–228. DOI:10.1016/j.ijtst.2022.03.006. DOI: https://doi.org/10.1016/j.ijtst.2022.03.006
Winters, P. R. (1960). Forecasting sales by exponentially weighted moving averages. Management Science 6(3), 324–342.
DOI:10.1287/mnsc.6.3.324. DOI: https://doi.org/10.1287/mnsc.6.3.324
Xie, T. & Y. Liu (2022). Impact of connected and autonomous vehicle technology on market penetration and route choices. DOI: https://doi.org/10.2139/ssrn.4035263
Transportation Research Part C: Emerging Technologies 139, 103709. DOI:10.1016/j.trc.2022.103646. DOI: https://doi.org/10.1016/j.trc.2022.103646
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Alexandre Rodrigues Seixas, Claudio Luiz Marte, Cassiano Augusto Isler, Edvaldo Simões da Fonseca Junior, Leopoldo Rideki Yoshioka

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who submit papers for publication by TRANSPORTES agree to the following terms:
- The authors retain the copyright and grant Transportes the right of first publication of the manuscript, without any financial charge, and waive any other remuneration for its publication by ANPET.
- Upon publication by Transportes, the manuscript is automatically licensed under the Creative Commons License CC BY 4.0 license. This license permits the work to be shared with proper attribution to the authors and its original publication in this journal.
- Authors are authorized to enter into additional separate contracts for the non-exclusive distribution of the version of the manuscript published in this journal (e.g., publishing in an institutional repository or as a book chapter), with recognition of the initial publication in this journal, provided that such a contract does not imply an endorsement of the content of the manuscript or the new medium by ANPET.
- Authors are permitted and encouraged to publish and distribute their work online (e.g., in institutional repositories or on their personal websites) after the editorial process is complete. As Transportes provides open access to all published issues, authors are encouraged to use links to the DOI of their article in these cases.
- Authors confirm they have obtained all required employer permissions for the publication and CC BY 4.0 licensing of the manuscript, particularly if the employer holds any claim to the manuscript's copyright. Authors assume all responsibility for employer-related copyright issues, releasing ANPET and Transportes from any related liability.
- Authors assume full responsibility for the content of the manuscript, including the necessary and appropriate authorizations for the disclosure of collected data and obtained results, releasing ANPET and Transportes from any responsibility in this regard.
Last update: 11/27/2025




